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AI/ML Engineer

Role overview

Qualifications

  • A University degree in Computer Science, Electrical Engineering, or a closely related technical field and minimum of 8 years of experience
  • Strong proficiency in AI/ML programming, particularly Python and R, with hands-on experience using key libraries and frameworks such as TensorFlow, PyTorch, pandas, spaCy, and NLTK
  • Expertise in machine learning and AI techniques and algorithms, including k-Nearest Neighbors (k-NN), Naive Bayes, Support Vector Machines (SVM), Decision Forests, Neural Networks, and related AI frameworks
  • Strong knowledge of Generative AI and language models, including Small Language Models (SLMs), Large Language Models (LLMs), and their practical applications

Responsibilities

  • Develop, train, deploy, and maintain machine learning and AI solutions focused on Natural Language Processing (NLP), Large Language Models (LLMs), generative AI, and other advanced AI use cases
  • Design and implement generative AI solutions, including LLM APIs, Retrieval-Augmented Generation (RAG), and machine learning techniques
  • Research and improve machine translation (MT) quality across supported language pairs by developing evaluation methodologies and implementing solutions
  • Manage and improve data quality and integrity by defining data rules and controls with stakeholders and performing data cleansing and validation

About the company

Netcompany logo

Netcompany

Netcompany is the fastest growing and most successful IT service company in Northern Europe. Today, we lead the way with digitalisation in Northern Europe, building modern IT solutions and introducing advanced use of technology for large global customer, side by side in agile teams. Netcompany leads the way in the next generation of IT consulting, with keen focus on Customer Value, Speed and Guaranteed delivery. We build IT solutions through agile delivery methods with speed to market. Our solutions are based on modern legacy free technology and industry standards. We build scalable robust solutions that will adapt to changing business needs, fully anchored in the organization. We know what it takes to build, operate and maintain IT solutions across all sectors and industries. We constantly challenge and innovate, and ensure that Development and Operations resources work together to ensure stability with speed. Netcompany’s vision is to be the leading digital Challenger in Northern Europe. We help Northern European businesses become future digital winners. The clients of Netcompany are large companies from a diverse array of industries and the public sector. Current and recent clients include: Danish Customs and Tax Administration (SKAT), ATP, Carlsberg, Royal Danish Ministry of Foreign Affairs, Ørsted, Airbus, Ministry of Justice (UK), Sodexo, Oslo Local Authority and Post Nord to name a few. We are headquartered in Copenhagen and besides the offices in Denmark, we are located in UK, Netherlands, Poland, Norway and Vietnam, with an employee count of more than 6500+. Privacy policy: https://www.netcompany.com/int/Privacy-Policy

Company details

Company typeXLarge
Company size5001 - 10000

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Job description

Company Description

Are you ready to shape the future technological landscape in Europe?

We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Job Description

Are you ready to join the forefront of technology as an AI/ML Engineer in Netcompany? 

As an AI/ML Engineer you will:

  • Develop, train, deploy, and maintain machine learning and AI solutions focused on Natural Language Processing (NLP), Large Language Models (LLMs), generative AI, and other advanced AI use cases.
  • Design and implement generative AI solutions, including LLM APIs, Retrieval-Augmented Generation (RAG), and machine learning techniques such as feature selection, classification, and model optimization.
  • Research and improve machine translation (MT) quality across supported language pairs by developing evaluation methodologies, conducting targeted studies, and implementing solutions that address customer and service-specific requirements.
  • Manage and improve data quality and integrity by defining data rules and controls with data stewards and IT stakeholders, performing data cleansing and validation, and implementing mechanisms to detect and mitigate data and model bias.
  • Develop automated anomaly detection and monitoring solutions to continuously assess data and model performance, identify issues, and support timely corrective actions.
  • Design and propose technical architectures for NLP, ML, and AI solutions, coordinating implementation with engineering teams while ensuring alignment with data management, master data, metadata, and data architecture principles.
  • Implement MLOps and AI governance practices to automate the machine learning lifecycle, including CI/CD, model monitoring, drift detection, retraining, and compliance with data protection and applicable AI Act requirements.
  • Communicate technical concepts and drive innovation by producing technical documentation and presentations, collaborating with technical and non-technical stakeholders, and staying current with AI/ML research to identify and pilot innovative solutions.

Qualifications

What would make you a fit for the role:

  • A University degree in Computer Science, Electrical Engineering, or a closely related technical field and minimum of 8 years of experience
  • Strong proficiency in AI/ML programming, particularly Python and R, with hands-on experience using key libraries and frameworks such as TensorFlow, PyTorch, pandas, spaCy, and NLTK.
  • Expertise in machine learning and AI techniques and algorithms, including k-Nearest Neighbors (k-NN), Naive Bayes, Support Vector Machines (SVM), Decision Forests, Neural Networks, and related AI frameworks.
  • Strong knowledge of Generative AI and language models, including Small Language Models (SLMs), Large Language Models (LLMs), and their practical applications.
  • Experience with cloud-based AI/ML platforms and tools for model training and fine-tuning, such as AWS SageMaker and Azure Machine Learning, as well as platforms for developing LLM-based solutions, including AWS Bedrock and Azure AI Studio.
  • Good knowledge of LLM application development and orchestration, including frameworks such as LangChain, LlamaIndex, and Semantic Kernel, as well as AI agent orchestration, safety mechanisms, and guardrails.
  • Strong understanding of data management principles relevant to AI/ML projects, including data governance, data quality, data cleaning, and data lifecycle management.
  • Good knowledge of Natural Language Processing (NLP) systems and software development lifecycles, including Agile methodologies and best practices for developing and maintaining AI solutions.
  • Experience with Machine Translation (MT) quality assurance and quality control, including MT testing methodologies, automatic evaluation metrics such as BLEU and related metrics, and human evaluation approaches.

What would be an asset for the role: 

  • Knowledge of data querying and information extraction, using technologies such as SQL, Hive, and Pig, as well as experience with NoSQL databases including MongoDB, Cassandra, and HBase.
  • Experience with data analytics and visualization across large-scale datasets, unstructured data, and data lakes, using tools such as D3.js and ggplot.
  • Experience in corpus-based linguistics, including corpus analysis, alignment models, and classification methods.
  • Knowledge of MLOps practices and tools for model versioning, deployment, monitoring, and governance, including MLflow and Kubeflow.
  • Knowledge of responsible and secure AI, including AI cybersecurity, AI risks, AI Act requirements, bias detection and mitigation (e.g., IBM AIF360, Fairlearn), and model explainability techniques (e.g., SHAP, LIME).
  • One of the following or an equivalent certification: AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, SAS Certified Professional AI and Machine Learning. 

Additional Information

Being a part of the Netcompany team, you will be provided with:

  • The opportunity to work in a modern environment.
  • A competitive compensation & benefits package
  • Hospitalization plan
  • Meal and commuting allowance
  • Mobility budget or commuting allowance (if applicable)
  • Well-being activities (on premises)
  • Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
  • A personalized development plan for targeted career growth

If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

By joining Netcompany Belgium, you will be an integral part of a distinguished team of 600+ tech enthusiasts working for international projects, primarily within the European Institutions market, with a unique opportunity to shape the future of digital services in an environment that values ideas and fosters growth.

#LI-CF

Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.

We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.

In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
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